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Discovery of Potential Chemical Probe as Inhibitors of CXCL12 Using Ligand-Based Virtual Screening and Molecular Dynamic Simulation

机译:利用基于配体的虚拟筛选和分子动态模拟发现CXCL12抑制剂的潜在化学探针

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摘要

CXCL12 are small pro-inflammatory chemo-attractant cytokines that bind to a specific receptor CXCR4 with a role in angiogenesis, tumor progression, metastasis, and cell survival. Globally, cancer metastasis is a major cause of morbidity and mortality. In this study, we targeted CXCL12 rather than the chemokine receptor (CXCR4) because most of the drugs failed in clinical trials due to unmanageable toxicities. Until now, no FDA approved medication has been available against CXCL12. Therefore, we aimed to find new inhibitors for CXCL12 through virtual screening followed by molecular dynamics simulation. For virtual screening, active compounds against CXCL12 were taken as potent inhibitors and utilized in the generation of a pharmacophore model, followed by validation against different datasets. Ligand based virtual screening was performed on the ChEMBL and in-house databases, which resulted in successive elimination through the steps of pharmacophore-based and score-based screenings, and finally, sixteen compounds of various interactions with significant crucial amino acid residues were selected as virtual hits. Furthermore, the binding mode of these compounds were refined through molecular dynamic simulations. Moreover, the stability of protein complexes, Root Mean Square Deviation (RMSD), Root Mean Square Fluctuation (RMSF), and radius of gyration were analyzed, which led to the identification of three potent inhibitors of CXCL12 that may be pursued in the drug discovery process against cancer metastasis.
机译:CXCL12是小型促炎化学诱惑细胞因子,其与特异性受体CXCR4结合,具有血管生成,肿瘤进展,转移和细胞存活中的作用。在全球范围内,癌症转移是发病率和死亡率的主要原因。在这项研究中,我们靶向CXCL12而不是趋化因子受体(CXCR4),因为大多数药物由于不可助长的毒性而导致的临床试验失败。到目前为止,没有FDA批准的药物针对CXCL12提供了可用的药物。因此,我们旨在通过虚拟筛选找到CXCL12的新抑制剂,然后发现分子动力学模拟。对于虚拟筛选,针对CXCL12的活性化合物被作为有效的抑制剂,并用于产生药物模型,然后验证不同的数据集。基于Chembl和内部数据库进行了基于拟亚体的虚拟筛选,其通过基于Pharmocophore的和基于评分的筛选的步骤连续消除,最后,选择与显着关键氨基酸残基的各种相互作用的十六种化合物为虚拟命中。此外,通过分子动态模拟来改进这些化合物的结合模式。此外,分析了蛋白质复合物,根均方偏差(RMSD),根均方波动(RMSF)和血清半径的稳定性,导致了可在药物发现中追求的CXCL12的三种有效抑制剂对癌症转移的过程。

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